Overview

Brought to you by YData

Dataset statistics

Number of variables23
Number of observations736320
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory181.2 MiB
Average record size in memory258.0 B

Variable types

DateTime1
Numeric21
Categorical1

Alerts

snowfall has constant value "0.0" Constant
cloud_cover is highly overall correlated with cloud_cover_high and 6 other fieldsHigh correlation
cloud_cover_high is highly overall correlated with cloud_cover and 1 other fieldsHigh correlation
cloud_cover_low is highly overall correlated with cloud_cover and 1 other fieldsHigh correlation
cloud_cover_mid is highly overall correlated with cloud_cover and 1 other fieldsHigh correlation
dew_point_2m is highly overall correlated with soil_moisture_0_to_7cmHigh correlation
et0_fao_evapotranspiration is highly overall correlated with relative_humidity_2m and 4 other fieldsHigh correlation
precipitation is highly overall correlated with cloud_cover and 2 other fieldsHigh correlation
pressure_msl is highly overall correlated with surface_pressureHigh correlation
rain is highly overall correlated with cloud_cover and 2 other fieldsHigh correlation
relative_humidity_2m is highly overall correlated with et0_fao_evapotranspiration and 5 other fieldsHigh correlation
soil_moisture_0_to_7cm is highly overall correlated with cloud_cover and 3 other fieldsHigh correlation
soil_temperature_0_to_7cm is highly overall correlated with et0_fao_evapotranspiration and 4 other fieldsHigh correlation
surface_pressure is highly overall correlated with pressure_mslHigh correlation
temperature_2m is highly overall correlated with et0_fao_evapotranspiration and 4 other fieldsHigh correlation
vapour_pressure_deficit is highly overall correlated with et0_fao_evapotranspiration and 4 other fieldsHigh correlation
weather_code is highly overall correlated with cloud_cover and 6 other fieldsHigh correlation
wind_direction_100m is highly overall correlated with wind_direction_10mHigh correlation
wind_direction_10m is highly overall correlated with wind_direction_100mHigh correlation
wind_gusts_10m is highly overall correlated with et0_fao_evapotranspiration and 6 other fieldsHigh correlation
wind_speed_100m is highly overall correlated with wind_gusts_10m and 1 other fieldsHigh correlation
wind_speed_10m is highly overall correlated with wind_gusts_10m and 1 other fieldsHigh correlation
date has unique values Unique
precipitation has 534941 (72.7%) zeros Zeros
rain has 534941 (72.7%) zeros Zeros
weather_code has 137015 (18.6%) zeros Zeros
cloud_cover has 13566 (1.8%) zeros Zeros
cloud_cover_low has 117187 (15.9%) zeros Zeros
cloud_cover_mid has 100338 (13.6%) zeros Zeros
cloud_cover_high has 112767 (15.3%) zeros Zeros
et0_fao_evapotranspiration has 210318 (28.6%) zeros Zeros

Reproduction

Analysis started2024-10-24 14:08:00.003761
Analysis finished2024-10-24 14:10:41.880246
Duration2 minutes and 41.88 seconds
Software versionydata-profiling vv4.11.0
Download configurationconfig.json

Variables

date
Date

Unique 

Distinct736320
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.6 MiB
Minimum1940-10-24 00:00:00+00:00
Maximum2024-10-22 23:00:00+00:00
2024-10-24T21:10:42.055085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:42.297786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

temperature_2m
Real number (ℝ)

High correlation 

Distinct1239
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.7835
Minimum14.674
Maximum39.161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:42.546268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.674
5-th percentile22.824001
Q124.624
median26.174002
Q328.774
95-th percentile32.224
Maximum39.161
Range24.487
Interquartile range (IQR)4.15

Descriptive statistics

Standard deviation2.9586692
Coefficient of variation (CV)0.11046612
Kurtosis-0.045267
Mean26.7835
Median Absolute Deviation (MAD)1.900002
Skewness0.53903933
Sum19721227
Variance8.7537236
MonotonicityNot monotonic
2024-10-24T21:10:42.851211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.874 5451
 
0.7%
24.824001 5415
 
0.7%
24.974 5405
 
0.7%
24.724 5357
 
0.7%
24.774 5340
 
0.7%
24.674002 5320
 
0.7%
25.024 5268
 
0.7%
24.574001 5257
 
0.7%
24.924002 5227
 
0.7%
24.624 5225
 
0.7%
Other values (1229) 683055
92.8%
ValueCountFrequency (%)
14.674 1
 
< 0.1%
14.724 1
 
< 0.1%
15.024 1
 
< 0.1%
15.374 1
 
< 0.1%
15.424 1
 
< 0.1%
15.574 2
< 0.1%
15.624 3
< 0.1%
15.724 1
 
< 0.1%
15.824 1
 
< 0.1%
15.874 1
 
< 0.1%
ValueCountFrequency (%)
39.161 1
< 0.1%
39.111 1
< 0.1%
39.060997 1
< 0.1%
38.760998 1
< 0.1%
38.724 1
< 0.1%
38.674 1
< 0.1%
38.624 2
< 0.1%
38.611 1
< 0.1%
38.461 1
< 0.1%
38.411 2
< 0.1%

relative_humidity_2m
Real number (ℝ)

High correlation 

Distinct110425
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.208955
Minimum19.032005
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:43.120353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.032005
5-th percentile47.016525
Q169.947815
median82.81253
Q392.21061
95-th percentile97.29423
Maximum100
Range80.967995
Interquartile range (IQR)22.262795

Descriptive statistics

Standard deviation15.549059
Coefficient of variation (CV)0.19630431
Kurtosis0.066119828
Mean79.208955
Median Absolute Deviation (MAD)10.50578
Skewness-0.89037881
Sum58323138
Variance241.77325
MonotonicityNot monotonic
2024-10-24T21:10:43.617324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.02038 257
 
< 0.1%
96.16928 253
 
< 0.1%
95.59956 253
 
< 0.1%
96.458015 245
 
< 0.1%
95.88605 242
 
< 0.1%
94.46319 239
 
< 0.1%
95.59633 238
 
< 0.1%
95.87849 237
 
< 0.1%
95.30545 237
 
< 0.1%
94.17725 236
 
< 0.1%
Other values (110415) 733883
99.7%
ValueCountFrequency (%)
19.032005 1
< 0.1%
20.063433 1
< 0.1%
20.313627 1
< 0.1%
20.67836 1
< 0.1%
21.044807 1
< 0.1%
21.387611 1
< 0.1%
21.6627 1
< 0.1%
21.692919 1
< 0.1%
21.870594 1
< 0.1%
22.011652 1
< 0.1%
ValueCountFrequency (%)
100 155
< 0.1%
99.704735 1
 
< 0.1%
99.70427 1
 
< 0.1%
99.703636 1
 
< 0.1%
99.70318 1
 
< 0.1%
99.70284 1
 
< 0.1%
99.70253 2
 
< 0.1%
99.70234 1
 
< 0.1%
99.702286 1
 
< 0.1%
99.70222 2
 
< 0.1%

dew_point_2m
Real number (ℝ)

High correlation 

Distinct1045
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.48374
Minimum7.324
Maximum27.874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:43.819791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.324
5-th percentile17.824001
Q121.424002
median23.274
Q323.974
95-th percentile24.874
Maximum27.874
Range20.55
Interquartile range (IQR)2.549998

Descriptive statistics

Standard deviation2.2501389
Coefficient of variation (CV)0.10007849
Kurtosis1.910399
Mean22.48374
Median Absolute Deviation (MAD)0.95
Skewness-1.3952408
Sum16555228
Variance5.063125
MonotonicityNot monotonic
2024-10-24T21:10:44.001529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.724 11553
 
1.6%
23.774 11464
 
1.6%
23.674002 11463
 
1.6%
23.824001 11346
 
1.5%
23.624 11245
 
1.5%
23.874 11175
 
1.5%
23.574001 10999
 
1.5%
23.524 10932
 
1.5%
23.924002 10896
 
1.5%
23.974 10612
 
1.4%
Other values (1035) 624635
84.8%
ValueCountFrequency (%)
7.324 1
< 0.1%
7.374 1
< 0.1%
7.874 1
< 0.1%
8.224 1
< 0.1%
8.374 1
< 0.1%
8.674 1
< 0.1%
8.6825 1
< 0.1%
8.774 1
< 0.1%
8.874 1
< 0.1%
9.074 1
< 0.1%
ValueCountFrequency (%)
27.874 1
< 0.1%
27.7825 1
< 0.1%
27.582499 2
< 0.1%
27.524 1
< 0.1%
27.4825 1
< 0.1%
27.432499 1
< 0.1%
27.374 1
< 0.1%
27.361 1
< 0.1%
27.324001 1
< 0.1%
27.2825 2
< 0.1%

precipitation
Real number (ℝ)

High correlation  Zeros 

Distinct167
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20765333
Minimum0
Maximum22.3
Zeros534941
Zeros (%)72.7%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:44.192151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1
95-th percentile1.2
Maximum22.3
Range22.3
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.73130846
Coefficient of variation (CV)3.5217757
Kurtosis68.545576
Mean0.20765333
Median Absolute Deviation (MAD)0
Skewness6.8639665
Sum152899.3
Variance0.53481206
MonotonicityNot monotonic
2024-10-24T21:10:44.401480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 534941
72.7%
0.1 63693
 
8.7%
0.2 35134
 
4.8%
0.3 17470
 
2.4%
0.4 11167
 
1.5%
0.5 8385
 
1.1%
0.6 6677
 
0.9%
0.7 5620
 
0.8%
0.8 4804
 
0.7%
0.9 4196
 
0.6%
Other values (157) 44233
 
6.0%
ValueCountFrequency (%)
0 534941
72.7%
0.1 63693
 
8.7%
0.2 35134
 
4.8%
0.3 17470
 
2.4%
0.4 11167
 
1.5%
0.5 8385
 
1.1%
0.6 6677
 
0.9%
0.7 5620
 
0.8%
0.8 4804
 
0.7%
0.9 4196
 
0.6%
ValueCountFrequency (%)
22.3 1
< 0.1%
22.1 1
< 0.1%
21.4 1
< 0.1%
20.4 1
< 0.1%
20.1 1
< 0.1%
19.5 1
< 0.1%
19.3 1
< 0.1%
18.1 1
< 0.1%
17.4 2
< 0.1%
17.1 1
< 0.1%

rain
Real number (ℝ)

High correlation  Zeros 

Distinct167
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20765333
Minimum0
Maximum22.3
Zeros534941
Zeros (%)72.7%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:44.633425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1
95-th percentile1.2
Maximum22.3
Range22.3
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.73130846
Coefficient of variation (CV)3.5217757
Kurtosis68.545576
Mean0.20765333
Median Absolute Deviation (MAD)0
Skewness6.8639665
Sum152899.3
Variance0.53481206
MonotonicityNot monotonic
2024-10-24T21:10:44.846371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 534941
72.7%
0.1 63693
 
8.7%
0.2 35134
 
4.8%
0.3 17470
 
2.4%
0.4 11167
 
1.5%
0.5 8385
 
1.1%
0.6 6677
 
0.9%
0.7 5620
 
0.8%
0.8 4804
 
0.7%
0.9 4196
 
0.6%
Other values (157) 44233
 
6.0%
ValueCountFrequency (%)
0 534941
72.7%
0.1 63693
 
8.7%
0.2 35134
 
4.8%
0.3 17470
 
2.4%
0.4 11167
 
1.5%
0.5 8385
 
1.1%
0.6 6677
 
0.9%
0.7 5620
 
0.8%
0.8 4804
 
0.7%
0.9 4196
 
0.6%
ValueCountFrequency (%)
22.3 1
< 0.1%
22.1 1
< 0.1%
21.4 1
< 0.1%
20.4 1
< 0.1%
20.1 1
< 0.1%
19.5 1
< 0.1%
19.3 1
< 0.1%
18.1 1
< 0.1%
17.4 2
< 0.1%
17.1 1
< 0.1%

snowfall
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.1 MiB
0.0
736320 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2208960
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 736320
100.0%

Length

2024-10-24T21:10:45.034997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-24T21:10:45.208363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 736320
100.0%

Most occurring characters

ValueCountFrequency (%)
0 1472640
66.7%
. 736320
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2208960
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1472640
66.7%
. 736320
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2208960
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1472640
66.7%
. 736320
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2208960
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1472640
66.7%
. 736320
33.3%

weather_code
Real number (ℝ)

High correlation  Zeros 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.387978
Minimum0
Maximum65
Zeros137015
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:45.435946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q351
95-th percentile55
Maximum65
Range65
Interquartile range (IQR)50

Descriptive statistics

Standard deviation23.412634
Coefficient of variation (CV)1.5214886
Kurtosis-0.85614565
Mean15.387978
Median Absolute Deviation (MAD)1
Skewness1.0429218
Sum11330476
Variance548.15142
MonotonicityNot monotonic
2024-10-24T21:10:45.648774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 255650
34.7%
0 137015
18.6%
51 127464
17.3%
2 99489
 
13.5%
3 42787
 
5.8%
53 29682
 
4.0%
61 18901
 
2.6%
63 14782
 
2.0%
55 9630
 
1.3%
65 920
 
0.1%
ValueCountFrequency (%)
0 137015
18.6%
1 255650
34.7%
2 99489
 
13.5%
3 42787
 
5.8%
51 127464
17.3%
53 29682
 
4.0%
55 9630
 
1.3%
61 18901
 
2.6%
63 14782
 
2.0%
65 920
 
0.1%
ValueCountFrequency (%)
65 920
 
0.1%
63 14782
 
2.0%
61 18901
 
2.6%
55 9630
 
1.3%
53 29682
 
4.0%
51 127464
17.3%
3 42787
 
5.8%
2 99489
 
13.5%
1 255650
34.7%
0 137015
18.6%

pressure_msl
Real number (ℝ)

High correlation 

Distinct207
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1009.5098
Minimum999.4
Maximum1020.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:45.903288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum999.4
5-th percentile1005.6
Q11007.8
median1009.4
Q31011.1
95-th percentile1013.6
Maximum1020.7
Range21.3
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation2.4180257
Coefficient of variation (CV)0.0023952475
Kurtosis-0.085172072
Mean1009.5098
Median Absolute Deviation (MAD)1.6
Skewness0.14134895
Sum7.4332223 × 108
Variance5.8468485
MonotonicityNot monotonic
2024-10-24T21:10:46.102688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1009.4 12316
 
1.7%
1009.5 12167
 
1.7%
1008.9 12157
 
1.7%
1009.3 12082
 
1.6%
1009.1 12006
 
1.6%
1009.2 11985
 
1.6%
1008.7 11949
 
1.6%
1009.8 11919
 
1.6%
1009.6 11879
 
1.6%
1009.7 11858
 
1.6%
Other values (197) 616002
83.7%
ValueCountFrequency (%)
999.4 1
 
< 0.1%
999.6 1
 
< 0.1%
999.8 1
 
< 0.1%
999.9 1
 
< 0.1%
1000 1
 
< 0.1%
1000.1 1
 
< 0.1%
1000.2 3
< 0.1%
1000.3 5
< 0.1%
1000.4 2
 
< 0.1%
1000.5 3
< 0.1%
ValueCountFrequency (%)
1020.7 1
 
< 0.1%
1020.5 1
 
< 0.1%
1020.4 3
< 0.1%
1020.2 1
 
< 0.1%
1020.1 1
 
< 0.1%
1019.9 1
 
< 0.1%
1019.8 1
 
< 0.1%
1019.6 3
< 0.1%
1019.5 2
< 0.1%
1019.4 1
 
< 0.1%

surface_pressure
Real number (ℝ)

High correlation 

Distinct17092
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1008.8201
Minimum998.7206
Maximum1019.9971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:46.296740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum998.7206
5-th percentile1004.9244
Q11007.1191
median1008.7198
Q31010.4119
95-th percentile1012.9061
Maximum1019.9971
Range21.2765
Interquartile range (IQR)3.29273

Descriptive statistics

Standard deviation2.4148768
Coefficient of variation (CV)0.0023937636
Kurtosis-0.084657241
Mean1008.8201
Median Absolute Deviation (MAD)1.6135
Skewness0.14142969
Sum7.428144 × 108
Variance5.8316299
MonotonicityNot monotonic
2024-10-24T21:10:46.539952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1008.0069 390
 
0.1%
1008.3067 379
 
0.1%
1009.2065 368
 
< 0.1%
1008.407 367
 
< 0.1%
1008.7055 365
 
< 0.1%
1007.9073 364
 
< 0.1%
1008.40564 362
 
< 0.1%
1008.6059 362
 
< 0.1%
1008.406 361
 
< 0.1%
1008.9066 360
 
< 0.1%
Other values (17082) 732642
99.5%
ValueCountFrequency (%)
998.7206 1
< 0.1%
998.92194 1
< 0.1%
999.1193 1
< 0.1%
999.22107 1
< 0.1%
999.31824 1
< 0.1%
999.4222 1
< 0.1%
999.51654 1
< 0.1%
999.52026 1
< 0.1%
999.5206 1
< 0.1%
999.6152 1
< 0.1%
ValueCountFrequency (%)
1019.9971 1
< 0.1%
1019.8029 1
< 0.1%
1019.70105 1
< 0.1%
1019.69946 1
< 0.1%
1019.6932 1
< 0.1%
1019.5035 1
< 0.1%
1019.4067 1
< 0.1%
1019.1992 1
< 0.1%
1019.0954 1
< 0.1%
1018.9051 1
< 0.1%

cloud_cover
Real number (ℝ)

High correlation  Zeros 

Distinct984
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.293344
Minimum0
Maximum100
Zeros13566
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:46.731778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3000002
Q126.1
median42.6
Q365.100006
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)39.000006

Descriptive statistics

Standard deviation28.14409
Coefficient of variation (CV)0.60795111
Kurtosis-0.75642527
Mean46.293344
Median Absolute Deviation (MAD)19.2
Skewness0.35090152
Sum34086715
Variance792.08979
MonotonicityNot monotonic
2024-10-24T21:10:46.918325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 51334
 
7.0%
0 13566
 
1.8%
30.000002 5014
 
0.7%
29.7 3732
 
0.5%
33 3491
 
0.5%
32.4 3435
 
0.5%
34.5 3405
 
0.5%
35.4 3323
 
0.5%
36 3309
 
0.4%
34.2 3288
 
0.4%
Other values (974) 642423
87.2%
ValueCountFrequency (%)
0 13566
1.8%
0.3 738
 
0.1%
0.6 3223
 
0.4%
0.9 2494
 
0.3%
0.90000004 592
 
0.1%
1.2 2312
 
0.3%
1.5 1558
 
0.2%
1.8 1654
 
0.2%
1.8000001 1668
 
0.2%
2.1 870
 
0.1%
ValueCountFrequency (%)
100 51334
7.0%
99.90001 27
 
< 0.1%
99.9 435
 
0.1%
99.899994 152
 
< 0.1%
99.600006 218
 
< 0.1%
99.6 334
 
< 0.1%
99.59999 38
 
< 0.1%
99.3 468
 
0.1%
99.299995 147
 
< 0.1%
99.00001 25
 
< 0.1%

cloud_cover_low
Real number (ℝ)

High correlation  Zeros 

Distinct101
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.609892
Minimum0
Maximum100
Zeros117187
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:47.104360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q325
95-th percentile71
Maximum100
Range100
Interquartile range (IQR)23

Descriptive statistics

Standard deviation22.433096
Coefficient of variation (CV)1.2054393
Kurtosis2.8952801
Mean18.609892
Median Absolute Deviation (MAD)10
Skewness1.7838291
Sum13702836
Variance503.2438
MonotonicityNot monotonic
2024-10-24T21:10:47.293776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 117187
 
15.9%
1 40788
 
5.5%
2 31485
 
4.3%
3 26581
 
3.6%
4 24952
 
3.4%
5 23004
 
3.1%
6 21226
 
2.9%
7 20986
 
2.9%
8 19453
 
2.6%
9 18637
 
2.5%
Other values (91) 392021
53.2%
ValueCountFrequency (%)
0 117187
15.9%
1 40788
 
5.5%
2 31485
 
4.3%
3 26581
 
3.6%
4 24952
 
3.4%
5 23004
 
3.1%
6 21226
 
2.9%
7 20986
 
2.9%
8 19453
 
2.6%
9 18637
 
2.5%
ValueCountFrequency (%)
100 6986
0.9%
99 1530
 
0.2%
98 1212
 
0.2%
97 1008
 
0.1%
96 979
 
0.1%
95 761
 
0.1%
94 826
 
0.1%
93 865
 
0.1%
92 800
 
0.1%
91 864
 
0.1%

cloud_cover_mid
Real number (ℝ)

High correlation  Zeros 

Distinct101
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.636797
Minimum0
Maximum100
Zeros100338
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:47.484437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median14
Q330
95-th percentile81
Maximum100
Range100
Interquartile range (IQR)26

Descriptive statistics

Standard deviation24.269016
Coefficient of variation (CV)1.1216547
Kurtosis1.9160995
Mean21.636797
Median Absolute Deviation (MAD)12
Skewness1.5677956
Sum15931606
Variance588.98512
MonotonicityNot monotonic
2024-10-24T21:10:47.680771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 100338
 
13.6%
1 33457
 
4.5%
2 26967
 
3.7%
3 23183
 
3.1%
4 22689
 
3.1%
5 20714
 
2.8%
6 19475
 
2.6%
7 19026
 
2.6%
8 17847
 
2.4%
9 17028
 
2.3%
Other values (91) 435596
59.2%
ValueCountFrequency (%)
0 100338
13.6%
1 33457
 
4.5%
2 26967
 
3.7%
3 23183
 
3.1%
4 22689
 
3.1%
5 20714
 
2.8%
6 19475
 
2.6%
7 19026
 
2.6%
8 17847
 
2.4%
9 17028
 
2.3%
ValueCountFrequency (%)
100 6518
0.9%
99 3095
0.4%
98 2447
 
0.3%
97 1979
 
0.3%
96 1787
 
0.2%
95 1649
 
0.2%
94 1615
 
0.2%
93 1539
 
0.2%
92 1471
 
0.2%
91 1414
 
0.2%

cloud_cover_high
Real number (ℝ)

High correlation  Zeros 

Distinct101
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.17481
Minimum0
Maximum100
Zeros112767
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:47.867105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median79
Q398
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)84

Descriptive statistics

Standard deviation40.078765
Coefficient of variation (CV)0.66603891
Kurtosis-1.4895554
Mean60.17481
Median Absolute Deviation (MAD)21
Skewness-0.4646224
Sum44307916
Variance1606.3074
MonotonicityNot monotonic
2024-10-24T21:10:48.055482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 117952
 
16.0%
0 112767
 
15.3%
99 42477
 
5.8%
98 32791
 
4.5%
97 22448
 
3.0%
96 18021
 
2.4%
95 15932
 
2.2%
94 13379
 
1.8%
93 11860
 
1.6%
1 11107
 
1.5%
Other values (91) 337586
45.8%
ValueCountFrequency (%)
0 112767
15.3%
1 11107
 
1.5%
2 8411
 
1.1%
3 6649
 
0.9%
4 5577
 
0.8%
5 5216
 
0.7%
6 4784
 
0.6%
7 4382
 
0.6%
8 4132
 
0.6%
9 3933
 
0.5%
ValueCountFrequency (%)
100 117952
16.0%
99 42477
 
5.8%
98 32791
 
4.5%
97 22448
 
3.0%
96 18021
 
2.4%
95 15932
 
2.2%
94 13379
 
1.8%
93 11860
 
1.6%
92 10934
 
1.5%
91 9460
 
1.3%

et0_fao_evapotranspiration
Real number (ℝ)

High correlation  Zeros 

Distinct520866
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17008995
Minimum0
Maximum0.9187237
Zeros210318
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:48.241037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.044390524
Q30.32317622
95-th percentile0.60751362
Maximum0.9187237
Range0.9187237
Interquartile range (IQR)0.32317622

Descriptive statistics

Standard deviation0.21602552
Coefficient of variation (CV)1.2700664
Kurtosis-0.22482834
Mean0.17008995
Median Absolute Deviation (MAD)0.044390524
Skewness1.0616543
Sum125240.63
Variance0.046667027
MonotonicityNot monotonic
2024-10-24T21:10:48.433091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 210318
 
28.6%
0.00013054344 4
 
< 0.1%
0.0033893115 4
 
< 0.1%
0.0025680065 4
 
< 0.1%
0.0068962327 4
 
< 0.1%
0.0041617225 4
 
< 0.1%
0.0003032468 3
 
< 0.1%
0.45549965 3
 
< 0.1%
0.0050967913 3
 
< 0.1%
0.25960368 3
 
< 0.1%
Other values (520856) 525970
71.4%
ValueCountFrequency (%)
0 210318
28.6%
1.1295618 × 10-81
 
< 0.1%
8.699023 × 10-81
 
< 0.1%
1.2954075 × 10-71
 
< 0.1%
1.6986579 × 10-71
 
< 0.1%
2.884512 × 10-71
 
< 0.1%
7.127257 × 10-71
 
< 0.1%
7.7077226 × 10-71
 
< 0.1%
7.7622667 × 10-71
 
< 0.1%
7.763363 × 10-71
 
< 0.1%
ValueCountFrequency (%)
0.9187237 1
< 0.1%
0.90552783 1
< 0.1%
0.9022963 1
< 0.1%
0.9003168 1
< 0.1%
0.89965916 1
< 0.1%
0.8951969 1
< 0.1%
0.89507776 1
< 0.1%
0.88882905 1
< 0.1%
0.88837147 1
< 0.1%
0.88778406 1
< 0.1%

vapour_pressure_deficit
Real number (ℝ)

High correlation 

Distinct110491
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.82373826
Minimum0
Maximum5.4103785
Zeros155
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:48.624758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08219576
Q10.24545717
median0.57911825
Q31.169846
95-th percentile2.4879063
Maximum5.4103785
Range5.4103785
Interquartile range (IQR)0.92438883

Descriptive statistics

Standard deviation0.75979135
Coefficient of variation (CV)0.92236988
Kurtosis1.9078805
Mean0.82373826
Median Absolute Deviation (MAD)0.39079261
Skewness1.4548276
Sum606534.95
Variance0.5772829
MonotonicityNot monotonic
2024-10-24T21:10:48.837679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.15184045 257
 
< 0.1%
0.13538432 253
 
< 0.1%
0.11610961 253
 
< 0.1%
0.12619328 251
 
< 0.1%
0.107037544 245
 
< 0.1%
0.17239165 239
 
< 0.1%
0.13467836 238
 
< 0.1%
0.1427207 237
 
< 0.1%
0.12455225 237
 
< 0.1%
0.1807568 236
 
< 0.1%
Other values (110481) 733874
99.7%
ValueCountFrequency (%)
0 155
< 0.1%
0.006156683 1
 
< 0.1%
0.0063648224 1
 
< 0.1%
0.0063996315 1
 
< 0.1%
0.006488085 1
 
< 0.1%
0.0065603256 3
 
< 0.1%
0.0065965652 1
 
< 0.1%
0.0066144466 2
 
< 0.1%
0.0066878796 1
 
< 0.1%
0.0067055225 1
 
< 0.1%
ValueCountFrequency (%)
5.4103785 1
< 0.1%
5.340521 1
< 0.1%
5.1115503 1
< 0.1%
5.0941553 1
< 0.1%
5.0177555 1
< 0.1%
5.003706 1
< 0.1%
4.989396 1
< 0.1%
4.9131985 1
< 0.1%
4.9062595 1
< 0.1%
4.9046316 1
< 0.1%

wind_speed_10m
Real number (ℝ)

High correlation 

Distinct2027
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6666869
Minimum0
Maximum39.9097
Zeros325
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:49.021430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1897945
Q14.6800003
median6.924738
Q310.233123
95-th percentile15.072783
Maximum39.9097
Range39.9097
Interquartile range (IQR)5.5531227

Descriptive statistics

Standard deviation3.9940161
Coefficient of variation (CV)0.52095724
Kurtosis0.21936078
Mean7.6666869
Median Absolute Deviation (MAD)2.604738
Skewness0.70366184
Sum5645134.9
Variance15.952165
MonotonicityNot monotonic
2024-10-24T21:10:49.399400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3349743 6239
 
0.8%
4.1046314 6154
 
0.8%
4.0249224 6095
 
0.8%
3.319036 5816
 
0.8%
5.3517847 5502
 
0.7%
6.489992 5421
 
0.7%
2.9024127 5417
 
0.7%
5.8603754 4645
 
0.6%
5.8048253 4564
 
0.6%
3.6 4460
 
0.6%
Other values (2017) 682007
92.6%
ValueCountFrequency (%)
0 325
 
< 0.1%
0.35999998 1181
0.2%
0.40249225 1
 
< 0.1%
0.5091169 1123
0.2%
0.71999997 1235
0.2%
0.742159 1
 
< 0.1%
0.8049845 2449
0.3%
0.9 1
 
< 0.1%
0.9178235 2
 
< 0.1%
1.0182338 1165
0.2%
ValueCountFrequency (%)
39.9097 1
< 0.1%
38.479603 1
< 0.1%
36.58918 1
< 0.1%
33.971867 1
< 0.1%
33.667217 1
< 0.1%
33.651817 1
< 0.1%
32.862694 1
< 0.1%
31.569351 1
< 0.1%
31.259941 1
< 0.1%
31.072817 1
< 0.1%

wind_speed_100m
Real number (ℝ)

High correlation 

Distinct3624
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.894766
Minimum0
Maximum64.34338
Zeros154
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:49.592477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.396233
Q18.049845
median12.481153
Q317.31746
95-th percentile23.675304
Maximum64.34338
Range64.34338
Interquartile range (IQR)9.267615

Descriptive statistics

Standard deviation6.2699725
Coefficient of variation (CV)0.48624166
Kurtosis-0.34978111
Mean12.894766
Median Absolute Deviation (MAD)4.5951445
Skewness0.33452024
Sum9494674.1
Variance39.312555
MonotonicityNot monotonic
2024-10-24T21:10:49.774913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.489992 2678
 
0.4%
7.42159 2590
 
0.4%
9.178235 2287
 
0.3%
2.9024127 2054
 
0.3%
4.0249224 2003
 
0.3%
4.3349743 1979
 
0.3%
10.495713 1968
 
0.3%
5.3517847 1959
 
0.3%
3.319036 1959
 
0.3%
10.948973 1957
 
0.3%
Other values (3614) 714886
97.1%
ValueCountFrequency (%)
0 154
 
< 0.1%
0.25455844 1
 
< 0.1%
0.35999998 544
0.1%
0.5091169 508
0.1%
0.54 1
 
< 0.1%
0.71999997 564
0.1%
0.8049845 1058
0.1%
0.9 3
 
< 0.1%
0.9178235 1
 
< 0.1%
0.9693296 1
 
< 0.1%
ValueCountFrequency (%)
64.34338 1
< 0.1%
62.54164 1
< 0.1%
58.904846 1
< 0.1%
56.088413 1
< 0.1%
51.675987 1
< 0.1%
50.921867 1
< 0.1%
50.636017 1
< 0.1%
49.644768 1
< 0.1%
49.426308 2
< 0.1%
48.824814 1
< 0.1%

wind_direction_10m
Real number (ℝ)

High correlation 

Distinct6159
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.86935
Minimum0.95482427
Maximum360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:49.962851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.95482427
5-th percentile33.6901
Q1125.3113
median172.87508
Q3243.43501
95-th percentile337.3801
Maximum360
Range359.04518
Interquartile range (IQR)118.12372

Descriptive statistics

Standard deviation85.49334
Coefficient of variation (CV)0.4675105
Kurtosis-0.58577054
Mean182.86935
Median Absolute Deviation (MAD)59.89001
Skewness0.078497442
Sum1.3465036 × 108
Variance7309.1112
MonotonicityNot monotonic
2024-10-24T21:10:50.156578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135.0001 10394
 
1.4%
180 8837
 
1.2%
224.9999 8016
 
1.1%
360 7221
 
1.0%
90 6382
 
0.9%
270 6319
 
0.9%
153.43501 5640
 
0.8%
243.43501 5019
 
0.7%
116.56499 4732
 
0.6%
206.56499 3938
 
0.5%
Other values (6149) 669822
91.0%
ValueCountFrequency (%)
0.95482427 2
 
< 0.1%
1.0416087 1
 
< 0.1%
1.0809096 2
 
< 0.1%
1.101687 3
< 0.1%
1.1232841 2
 
< 0.1%
1.1457417 2
 
< 0.1%
1.1691146 4
< 0.1%
1.218852 6
< 0.1%
1.2453395 4
< 0.1%
1.2730018 5
< 0.1%
ValueCountFrequency (%)
360 7221
1.0%
359.10486 1
 
< 0.1%
359.07596 1
 
< 0.1%
359.029 1
 
< 0.1%
359.01227 1
 
< 0.1%
358.93912 1
 
< 0.1%
358.9191 1
 
< 0.1%
358.89832 1
 
< 0.1%
358.8767 2
 
< 0.1%
358.85425 2
 
< 0.1%

wind_direction_100m
Real number (ℝ)

High correlation 

Distinct12046
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.58012
Minimum0.6160469
Maximum360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:50.368178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.6160469
5-th percentile31.865936
Q1120.78408
median169.6952
Q3242.10283
95-th percentile331.69934
Maximum360
Range359.38395
Interquartile range (IQR)121.31875

Descriptive statistics

Standard deviation84.483323
Coefficient of variation (CV)0.4704492
Kurtosis-0.61287809
Mean179.58012
Median Absolute Deviation (MAD)62.102686
Skewness0.05821016
Sum1.3222843 × 108
Variance7137.4319
MonotonicityNot monotonic
2024-10-24T21:10:50.563252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135.0001 5866
 
0.8%
224.9999 4951
 
0.7%
180 4593
 
0.6%
90 4522
 
0.6%
360 4406
 
0.6%
270 4148
 
0.6%
243.43501 3532
 
0.5%
116.56499 3464
 
0.5%
153.43501 3076
 
0.4%
44.999897 2339
 
0.3%
Other values (12036) 695423
94.4%
ValueCountFrequency (%)
0.6160469 1
 
< 0.1%
0.6510448 1
 
< 0.1%
0.69026375 1
 
< 0.1%
0.7073119 1
 
< 0.1%
0.71615016 2
< 0.1%
0.725207 4
< 0.1%
0.7345097 1
 
< 0.1%
0.74404466 2
< 0.1%
0.75383914 4
< 0.1%
0.76387954 2
< 0.1%
ValueCountFrequency (%)
360 4406
0.6%
359.4032 1
 
< 0.1%
359.3905 1
 
< 0.1%
359.38394 1
 
< 0.1%
359.36343 1
 
< 0.1%
359.34897 1
 
< 0.1%
359.34146 1
 
< 0.1%
359.326 4
 
< 0.1%
359.31793 1
 
< 0.1%
359.30972 3
 
< 0.1%

wind_gusts_10m
Real number (ℝ)

High correlation 

Distinct189
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.618041
Minimum0.71999997
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:50.751938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.71999997
5-th percentile5.7599998
Q110.440001
median16.56
Q323.039999
95-th percentile33.839996
Maximum72
Range71.28
Interquartile range (IQR)12.599998

Descriptive statistics

Standard deviation8.9106733
Coefficient of variation (CV)0.50576981
Kurtosis0.49296583
Mean17.618041
Median Absolute Deviation (MAD)6.479999
Skewness0.75039579
Sum12972516
Variance79.400099
MonotonicityNot monotonic
2024-10-24T21:10:50.943740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.92 12632
 
1.7%
7.5599995 12462
 
1.7%
8.28 12442
 
1.7%
8.64 12422
 
1.7%
9 12366
 
1.7%
7.2 11953
 
1.6%
9.36 11693
 
1.6%
6.8399997 11445
 
1.6%
9.72 11434
 
1.6%
16.919998 11298
 
1.5%
Other values (179) 616173
83.7%
ValueCountFrequency (%)
0.71999997 3
 
< 0.1%
1.08 25
 
< 0.1%
1.4399999 50
 
< 0.1%
1.8 124
 
< 0.1%
2.16 268
 
< 0.1%
2.52 579
 
0.1%
2.8799999 1036
 
0.1%
3.2399998 1547
0.2%
3.6 2404
0.3%
3.96 3259
0.4%
ValueCountFrequency (%)
72 1
 
< 0.1%
70.92 1
 
< 0.1%
69.479996 2
 
< 0.1%
69.12 1
 
< 0.1%
68.4 1
 
< 0.1%
66.96 2
 
< 0.1%
66.6 2
 
< 0.1%
66.24 5
< 0.1%
65.88 5
< 0.1%
65.520004 1
 
< 0.1%

soil_temperature_0_to_7cm
Real number (ℝ)

High correlation 

Distinct1575
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.476658
Minimum17.674002
Maximum51.310997
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:51.136887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.674002
5-th percentile24.582499
Q126.324001
median28.261
Q331.524
95-th percentile39.274
Maximum51.310997
Range33.636995
Interquartile range (IQR)5.199999

Descriptive statistics

Standard deviation4.4489188
Coefficient of variation (CV)0.15093023
Kurtosis1.841187
Mean29.476658
Median Absolute Deviation (MAD)2.313001
Skewness1.3365034
Sum21704253
Variance19.792878
MonotonicityNot monotonic
2024-10-24T21:10:51.328633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.074001 4857
 
0.7%
26.224 4855
 
0.7%
26.124 4827
 
0.7%
26.024 4770
 
0.6%
26.424002 4764
 
0.6%
26.324001 4760
 
0.6%
26.174002 4723
 
0.6%
26.274 4689
 
0.6%
25.924002 4689
 
0.6%
26.474 4687
 
0.6%
Other values (1565) 688699
93.5%
ValueCountFrequency (%)
17.674002 1
 
< 0.1%
17.774 1
 
< 0.1%
17.974 1
 
< 0.1%
18.024 2
< 0.1%
18.074001 1
 
< 0.1%
18.124 2
< 0.1%
18.174002 2
< 0.1%
18.224 2
< 0.1%
18.274 3
< 0.1%
18.324001 3
< 0.1%
ValueCountFrequency (%)
51.310997 1
 
< 0.1%
51.111 1
 
< 0.1%
50.361 2
 
< 0.1%
50.211 1
 
< 0.1%
50.161 5
< 0.1%
50.111 1
 
< 0.1%
49.961 1
 
< 0.1%
49.911 1
 
< 0.1%
49.810997 1
 
< 0.1%
49.711 2
 
< 0.1%

soil_moisture_0_to_7cm
Real number (ℝ)

High correlation 

Distinct655
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.33237613
Minimum0.027
Maximum0.522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 MiB
2024-10-24T21:10:51.523684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.027
5-th percentile0.111
Q10.154
median0.415
Q30.463
95-th percentile0.49
Maximum0.522
Range0.495
Interquartile range (IQR)0.309

Descriptive statistics

Standard deviation0.15116388
Coefficient of variation (CV)0.45479765
Kurtosis-1.4014845
Mean0.33237613
Median Absolute Deviation (MAD)0.068
Skewness-0.5184185
Sum244735.19
Variance0.022850519
MonotonicityNot monotonic
2024-10-24T21:10:51.738512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.112 13606
 
1.8%
0.111 13268
 
1.8%
0.113 11513
 
1.6%
0.114 9673
 
1.3%
0.115 9005
 
1.2%
0.116 7993
 
1.1%
0.117 6924
 
0.9%
0.467 6811
 
0.9%
0.469 6810
 
0.9%
0.465 6740
 
0.9%
Other values (645) 643977
87.5%
ValueCountFrequency (%)
0.027 14
 
< 0.1%
0.028 8
 
< 0.1%
0.029 22
 
< 0.1%
0.03 16
 
< 0.1%
0.031 3
 
< 0.1%
0.032 20
 
< 0.1%
0.033 27
 
< 0.1%
0.033999987 4
 
< 0.1%
0.034 89
< 0.1%
0.034999985 13
 
< 0.1%
ValueCountFrequency (%)
0.522 1
 
< 0.1%
0.521 2
 
< 0.1%
0.52 312
< 0.1%
0.519 126
 
< 0.1%
0.518 173
< 0.1%
0.517 227
< 0.1%
0.516 263
< 0.1%
0.515 268
< 0.1%
0.514 302
< 0.1%
0.513 326
< 0.1%

Interactions

2024-10-24T21:10:33.605686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:08:55.826768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:00.713461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:05.418572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:09.946186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:14.098281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:18.405364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:22.716845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:27.525147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:32.510432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:37.899343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:42.763659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:47.462145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:52.476646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:57.182275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:02.596414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:08.577964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:13.866443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:19.298740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:23.989105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:28.844541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:33.828400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:08:56.308741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:00.938513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:05.615431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:10.143566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:14.296250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:18.612123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:22.918365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:27.765182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:32.733948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:38.121666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:42.980264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:47.694147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:52.695992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:57.404594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:02.827233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:08.805048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:14.146307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:19.556074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:24.202693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:29.055336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:34.060187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:08:56.735946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:01.159096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:05.821198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:10.353369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:14.506661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:18.828053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:23.134264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:28.016585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:32.970068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:38.613805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:43.206981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:47.921227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:52.919927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:57.669836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:03.079971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:09.052023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:14.405869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:19.815243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:24.428334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:29.285147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:34.274598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:08:56.931777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:01.362704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:06.012587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:10.534576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:14.693686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:19.021231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:23.328929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:28.242611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:33.297174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:38.815931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:43.413103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:48.159969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:53.144577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:57.892469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:03.326731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:09.279024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:14.685442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:20.038542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:24.632198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:29.484699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:34.483500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:08:57.134914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:01.569962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:06.220455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:10.724768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:14.874777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:19.217978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:23.523763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:28.499109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:33.663007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:39.023017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:43.617943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:48.435491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:53.359200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:58.106471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:03.568851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:09.516512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:14.993119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:20.275911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:24.833795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:29.690304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:34.692003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:08:57.333762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:01.802302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:06.443026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:10.912513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:15.063244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:19.408436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:23.721737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:28.717011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:33.902091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:39.228385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:43.821306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:48.726558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:53.568923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:58.330190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:03.868701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:09.735055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:15.309275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:20.533098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:25.062012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:29.893166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:34.948995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:08:57.540234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:02.024240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:06.662251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:11.112810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-10-24T21:10:17.785131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:22.690118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:27.401920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:32.101174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:37.173909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:08:59.647014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:04.159911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:08.925915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:13.080851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:17.313763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:21.653831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:26.257463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:31.251295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:36.740044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:41.660779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:46.294796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:51.368389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:56.032068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:01.278413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:07.183336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:12.462422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:18.005639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:22.904050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:27.615524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:32.343895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:37.388534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:08:59.864795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:04.408303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:09.130582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:13.288355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:17.555784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:21.874038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:26.533364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:31.477035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:36.978810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:41.890187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:46.551897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:51.591456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:56.250948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:01.538148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:07.495397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:12.892940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:18.256993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:23.116732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:27.990953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:32.588674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:37.604555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:00.082995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:04.701955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:09.341107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:13.495497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:17.801710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:22.086213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:26.758247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:31.730294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:37.209027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:42.107551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:46.768589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:51.818612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:56.536050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:01.834089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:07.812676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:13.134001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:18.555313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:23.337818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:28.204767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:32.876726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:37.813225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:00.303157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:04.921240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:09.552411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:13.701191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:18.005924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:22.297137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:26.993157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:31.985715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:37.439243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:42.331622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:46.980549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:52.044985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:56.755784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:02.132846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:08.099255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:13.375518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:18.803053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:23.563505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:28.418691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:33.153399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:38.024827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:00.513111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:05.154040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:09.754076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:13.901482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:18.208978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:22.510223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:27.248698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:32.216425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:37.674869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:42.554342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:47.220107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:52.271958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:09:56.968684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:02.368521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:08.342800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:13.627057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:19.052219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:23.783037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:28.638880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-24T21:10:33.372240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-10-24T21:10:51.896051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
cloud_covercloud_cover_highcloud_cover_lowcloud_cover_middew_point_2met0_fao_evapotranspirationprecipitationpressure_mslrainrelative_humidity_2msoil_moisture_0_to_7cmsoil_temperature_0_to_7cmsurface_pressuretemperature_2mvapour_pressure_deficitweather_codewind_direction_100mwind_direction_10mwind_gusts_10mwind_speed_100mwind_speed_10m
cloud_cover1.0000.5990.6930.6530.3230.0710.508-0.3160.5080.1620.505-0.030-0.3160.045-0.1270.8440.2980.2760.086-0.129-0.045
cloud_cover_high0.5991.0000.1230.2330.328-0.1460.293-0.3130.2930.2700.456-0.174-0.315-0.114-0.2510.5130.2640.246-0.0340.029-0.012
cloud_cover_low0.6930.1231.0000.3140.2910.2000.383-0.2060.3830.0650.3480.082-0.2050.146-0.0240.6040.2090.1880.112-0.223-0.072
cloud_cover_mid0.6530.2330.3141.0000.1510.1010.438-0.2650.438-0.0240.3140.111-0.2640.1570.0500.6020.1590.1390.132-0.0160.034
dew_point_2m0.3230.3280.2910.1511.000-0.1660.321-0.4570.3210.4440.604-0.009-0.4570.091-0.3600.3690.3290.268-0.084-0.057-0.087
et0_fao_evapotranspiration0.071-0.1460.2000.101-0.1661.0000.178-0.0330.178-0.830-0.1990.768-0.0240.8130.8560.150-0.015-0.0320.729-0.0040.348
precipitation0.5080.2930.3830.4380.3210.1781.000-0.3171.0000.0230.4190.134-0.3160.1500.0120.8020.2040.1800.2490.0170.106
pressure_msl-0.316-0.313-0.206-0.265-0.457-0.033-0.3171.000-0.317-0.099-0.404-0.1451.000-0.2210.043-0.353-0.349-0.284-0.186-0.208-0.205
rain0.5080.2930.3830.4380.3210.1781.000-0.3171.0000.0230.4190.134-0.3160.1500.0120.8020.2040.1800.2490.0170.106
relative_humidity_2m0.1620.2700.065-0.0240.444-0.8300.023-0.0990.0231.0000.511-0.798-0.109-0.786-0.9940.0940.1830.176-0.626-0.095-0.352
soil_moisture_0_to_7cm0.5050.4560.3480.3140.604-0.1990.419-0.4040.4190.5111.000-0.310-0.408-0.180-0.4660.5160.4180.377-0.116-0.072-0.113
soil_temperature_0_to_7cm-0.030-0.1740.0820.111-0.0090.7680.134-0.1450.134-0.798-0.3101.000-0.1340.9420.8460.070-0.073-0.1150.5740.0030.266
surface_pressure-0.316-0.315-0.205-0.264-0.457-0.024-0.3161.000-0.316-0.109-0.408-0.1341.000-0.2100.054-0.353-0.350-0.285-0.179-0.208-0.202
temperature_2m0.045-0.1140.1460.1570.0910.8130.150-0.2210.150-0.786-0.1800.942-0.2101.0000.8460.1280.003-0.0450.6100.0020.286
vapour_pressure_deficit-0.127-0.251-0.0240.050-0.3600.8560.0120.0430.012-0.994-0.4660.8460.0540.8461.000-0.053-0.154-0.1560.6480.0850.355
weather_code0.8440.5130.6040.6020.3690.1500.802-0.3530.8020.0940.5160.070-0.3530.128-0.0531.0000.2860.2600.170-0.0930.011
wind_direction_100m0.2980.2640.2090.1590.329-0.0150.204-0.3490.2040.1830.418-0.073-0.3500.003-0.1540.2861.0000.8820.0490.0440.048
wind_direction_10m0.2760.2460.1880.1390.268-0.0320.180-0.2840.1800.1760.377-0.115-0.285-0.045-0.1560.2600.8821.0000.0210.0220.024
wind_gusts_10m0.086-0.0340.1120.132-0.0840.7290.249-0.1860.249-0.626-0.1160.574-0.1790.6100.6480.1700.0490.0211.0000.5360.778
wind_speed_100m-0.1290.029-0.223-0.016-0.057-0.0040.017-0.2080.017-0.095-0.0720.003-0.2080.0020.085-0.0930.0440.0220.5361.0000.892
wind_speed_10m-0.045-0.012-0.0720.034-0.0870.3480.106-0.2050.106-0.352-0.1130.266-0.2020.2860.3550.0110.0480.0240.7780.8921.000

Missing values

2024-10-24T21:10:38.271143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-10-24T21:10:39.433348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

datetemperature_2mrelative_humidity_2mdew_point_2mprecipitationrainsnowfallweather_codepressure_mslsurface_pressurecloud_covercloud_cover_lowcloud_cover_midcloud_cover_highet0_fao_evapotranspirationvapour_pressure_deficitwind_speed_10mwind_speed_100mwind_direction_10mwind_direction_100mwind_gusts_10msoil_temperature_0_to_7cmsoil_moisture_0_to_7cm
01940-10-24 00:00:00+00:0024.83249993.33758523.6824990.00.00.01.01014.01013.3027037.50000036.07.03.00.0569220.2087862.2768402.902413341.564940330.2552209.00000025.5325000.445
11940-10-24 01:00:00+00:0026.13250085.62309023.5325000.10.10.051.01014.51013.8054054.00000438.09.048.00.2002670.4866532.1897952.545584350.537750351.87000011.15999926.4324990.445
21940-10-24 02:00:00+00:0027.38250078.35976423.2825000.10.10.051.01015.01014.3080057.60000032.06.084.00.3203810.7883322.5959972.90241333.69010029.74479510.08000027.4324990.444
31940-10-24 03:00:00+00:0028.53250072.39557023.0824990.20.20.051.01014.41013.7110069.30000038.018.081.00.4499201.0752362.3051252.81169051.34017039.80552711.52000028.5824990.443
41940-10-24 04:00:00+00:0029.28250069.31797023.0824990.30.30.051.01013.21012.5137362.10000230.038.041.00.5681341.2480522.1600002.54558490.00000081.86999013.32000029.6325000.442
51940-10-24 05:00:00+00:0029.83249967.56200023.1824990.30.30.051.01012.01011.3157348.00000029.028.017.00.6089091.3618712.5959973.096837123.690094125.53776614.40000030.4825000.441
61940-10-24 06:00:00+00:0029.73250069.61220023.5824990.10.10.051.01011.11010.4159537.50000026.023.01.00.4745131.2684413.0968373.893995144.462230146.30990013.67999930.7825000.439
71940-10-24 07:00:00+00:0029.98250070.92576624.1325000.10.10.051.01010.51009.8171052.50000031.041.00.00.5403361.2310772.9686363.758510165.963730163.30067014.40000031.0824990.437
81940-10-24 08:00:00+00:0030.03250071.79031024.3825000.00.00.01.01009.91009.2175044.40000032.026.00.00.3872471.1978673.6179554.334974185.710500184.76355012.59999931.2825000.436
91940-10-24 09:00:00+00:0029.33249974.52010024.3324990.40.40.051.01009.31008.6163355.80000330.048.00.00.2418991.0393044.8029995.860375167.005390169.38040010.44000130.8825000.436
datetemperature_2mrelative_humidity_2mdew_point_2mprecipitationrainsnowfallweather_codepressure_mslsurface_pressurecloud_covercloud_cover_lowcloud_cover_midcloud_cover_highet0_fao_evapotranspirationvapour_pressure_deficitwind_speed_10mwind_speed_100mwind_direction_10mwind_direction_100mwind_gusts_10msoil_temperature_0_to_7cmsoil_moisture_0_to_7cm
7363102024-10-22 14:00:00+00:0025.41100190.05929023.6610012.12.10.061.01010.61009.9065671.10000037.013.0100.00.0006610.3224248.11798014.383114356.186000351.36295018.35999927.3610000.514
7363112024-10-22 15:00:00+00:0025.21100092.51832023.9110011.61.60.061.01010.61009.90594100.00000054.0100.0100.00.0000000.2397954.2021437.97300543.26433028.30066012.95999926.8610000.501
7363122024-10-22 16:00:00+00:0025.06100094.19359624.0610000.70.70.053.01010.21009.5058690.0000100.0100.0100.00.0000000.1844464.91304410.31511528.44283729.2487328.64000026.5610000.508
7363132024-10-22 17:00:00+00:0024.86100095.03805524.0110000.30.30.051.01010.01009.3056697.2000058.0100.0100.00.0000000.1557563.4763775.441838291.250580325.7842407.55999926.3610000.508
7363142024-10-22 18:00:00+00:0024.66100196.75936024.1110000.00.00.03.01009.31008.60550100.00000019.099.0100.00.0000000.1005175.0400008.139901270.000000288.0343607.55999926.1610010.506
7363152024-10-22 19:00:00+00:0024.46100098.21820024.1610010.00.00.03.01008.51007.80585100.00000019.0100.0100.00.0000000.0546114.5322848.863972276.842680293.9625008.28000026.0110000.504
7363162024-10-22 20:00:00+00:0024.31100098.51155024.0610000.10.10.051.01008.21007.5057090.9000101.0100.0100.00.0000000.0452134.3498969.734988294.443940303.6901007.55999925.9110010.503
7363172024-10-22 21:00:00+00:0024.36100098.21687024.0610000.00.00.03.01008.11007.4057090.9000101.0100.0100.00.0000000.0543274.50359810.239453357.709440349.8754006.84000025.8110000.502
7363182024-10-22 22:00:00+00:0024.31100098.21619024.0110000.00.00.03.01008.21007.5057090.0000100.0100.0100.00.0000000.0541866.27939514.677451332.700500336.8936509.72000025.7110000.500
7363192024-10-22 23:00:00+00:0024.36100097.92238624.0110000.00.00.01.01008.81008.1052040.8000030.018.0100.00.0139860.0632996.66000015.710607341.075260341.9801309.72000025.6610010.499